scholarly journals AIML and Sequence-to-Sequence Models to Build Artificial Intelligence Chatbots: Insights from a Comparative Analysis

2019 ◽  
pp. 323-333
Author(s):  
Nishant Teckchandani ◽  
Aditya Santokhee ◽  
Girish Bekaroo
Keyword(s):  
Artificial Intelligence ◽  
Comparative Analysis

Voice Assistants with Artificial Intelligence for Improving Academic English

2021 ◽  
Author(s):  
Vladimir Tregubov
Keyword(s):  
Artificial Intelligence ◽  
Comparative Analysis ◽  
Voice Recognition ◽  
Educational Process ◽  
Academic English ◽  
Academic Vocabulary ◽  
Active Mode ◽  
Specialized Software

The article describes applications of using voice recognition technology based on artificial intelligence to the educational process. The author presents a comparative analysis of existing examples artificial intelligence in the educational process. Artificial intelligence uses in specialized software it makes educational process more convenient for both the students and the teachers. There is a description of an application “Academic phrase bank" developed by author. The application consists of two specialising actions for Google assistant. The application allows to increase academic vocabulary, train of creating grammatically correct academic expressions, and memorize templates of academic phrases. In active mode, this application helps to create correct phrases of academic English and improve the abilities of understanding English speech.

scholarly journals Comparative analysis of artificial intelligence techniques for the prediction of infiltration process

2020 ◽  
pp. 1-10
Author(s):  
Balraj Singh ◽  
Parveen Sihag ◽  
Abbas Parsaie ◽  
Anastasia Angelaki
Keyword(s):  
Artificial Intelligence ◽  
Comparative Analysis ◽  
Infiltration Process ◽  
Artificial Intelligence Techniques

scholarly journals A Comparative Analysis on Artificial Intelligence Techniques for Web Phishing Classification

2020 ◽  
Vol 769 ◽  
pp. 012073
Author(s):  
Tengku Balqis binti Tengku Abd Rashid ◽  
Jamaludin bin Sallim ◽  
Yusnita binti Muhamad Noor
Keyword(s):  
Artificial Intelligence ◽  
Comparative Analysis ◽  
Artificial Intelligence Techniques

scholarly journals Comparative Analysis between International Research Hotspots and National-Level Policy Keywords on Artificial Intelligence in China from 2009 to 2018

2019 ◽  
Vol 11 (23) ◽  
pp. 6574 ◽  
Author(s):  
Gao ◽  
Huang ◽  
Zhang
Keyword(s):  
Artificial Intelligence ◽  
Comparative Analysis ◽  
International Research ◽  
Rapid Development ◽  
National Level ◽  
Academic Research ◽  
Development Stage ◽  
The Relationship ◽  
Research Hotspots ◽  
Research And Policy

In the last decade, artificial intelligence (AI) has undergone many important developments in China and has risen to the level of national strategy, which is closely related to the areas of research and policy promotion. The interactive relationship between the hotspots of China’s international AI research and its national-level policy keywords is the basis for further clarification and reference in academics and political circles. There has been very little research on the interaction between academic research and policy making. Understanding the relationship between the content of academic research and the content emphasized by actual operational policy will help scholars to better apply research to practice, and help decision-makers to manage effectively. Based on 3577 English publications about AI published by Chinese scholars in 2009–2018, and 262 Chinese national-level policy documents published during this period, this study carried out scientometric analysis and quantitative analysis of policy documents through the knowledge maps of AI international research hotspots in China and the co-occurrence maps of Chinese policy keywords, and conducted a comparative analysis that divided China’s AI development into three stages: the initial exploration stage, the steady rising stage, and the rapid development stage. The studies showed that in the initial exploration stage (2009–2012), research hotspots and policy keywords had a certain alienation relationship; in the steady rising stage (2013–2015), research hotspots focused more on cutting-edge technologies and policy keywords focused more on macro-guidance, and the relationship began to become close; and in the rapid development stage (2016–2018), the research hotspots and policy keywords became closely integrated, and they were mutually infiltrated and complementary, thus realizing organic integration and close connection. Through comparative analysis between international research hotspots and national-level policy keywords on AI in China from 2009 to 2018, the development of AI in China was revealed to some extent, along with the interaction between academics and politics in the past ten years, which is of great significance for the sustainable development and effective governance of China’s artificial intelligence.

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